基于计算机视觉定位的全向移动码垛机器人

Xiong Yang, Hongbin Zhang, Tianyou Cheng, Xuebin Ni, Chenhao Wu, Huaizhi Zong, Haojian Lu, Zhiguo Lu, Yajing Shen
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引用次数: 2

摘要

码垛机器人是在工业生产过程中,完成大量工件或包装的获取、运输、堆放、拆堆等任务的一类工业机器人。它是集机械、电子、通信、智能技术、计算机科学等多种技术于一体的高科技机电产品。码垛机器人技术在解决劳动力短缺、提高劳动生产率、节约生产成本、降低劳动强度、改善生产环境等方面具有巨大潜力。目前的码垛机器人结构庞大,堆垛高度有限。本文研制了一种集运输和码垛功能于一体的小型码垛机器人,用于轻型货物的码垛。我们在码垛机器人上采用了全向底盘,使码垛机器人可以向任何方向移动,扩大了其工作范围。通过使用提升机构,可以将块从下端嵌入。这不仅减少了机器人的整体尺寸,而且还允许更高的堆叠。本文还增加了码垛机器人的计算机视觉定位。一方面大大提高了机器人自身的运动精度,另一方面实现了机器人的完全自动化。最后,通过实验验证了码垛机器人的可行性。在没有干预的情况下,机器人成功地将积木运送到指定区域,并将它们堆叠到机器人自身高度的四倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Omnidirectional and Movable Palletizing Robot based on Computer Vision Positing
The palletizing robot is a type of industrial robot that performs the tasks of obtaining, transporting, stacking, and unstacking large quantities of workpieces or packages in an industrial production process. It is a high-tech mechanical and electrical product that integrates mechanical, electronics, communications, intelligent technology, computer science, and other technologies. Palletizing robotics technology has great potential in solving labor shortages, improving labor productivity, saving production costs, reducing labor intensity, and improving the production environment. Current palletizing robots are large in structure and have limited stacking heights. This paper develops a compact palletizing robot that integrates transport and stacking functions for light-weight cargo stacking. We apply an omnidirectional chassis to the palletizing robot, which allows the robot to move in any direction and expands its working range. By using the lifting mechanism, the block can be embedded from the lower end. This not only reduces the overall size of the robot but also allows for higher stacking. This paper also adds computer vision positioning for palletizing robots. On the one hand, it greatly improves the robot's own movement accuracy, on the other hand, it realizes the complete automation of robots. Finally, we verified the feasibility of the palletizing robot through experiments. In the absence of intervention, the robot successfully transported the blocks to the designated area and stacked them to four times the height of the robot itself.
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